![]() Whatever happened between Google Cloud and Intel behind the scenes, the cloud builder made sure to promote Intel’s simulation and modeling blueprint as the only detailed example in its blog post announcing the toolkit.Ī key part of Intel’s simulation and modeling blueprint is the company’s oneAPI toolkit, the cross-platform parallel programming model that aims to simplify development across a broad range of compute engines, including ones from Intel’s rivals. Additionally, blueprints can be configured to run on a 100 Gb/sec network using Google Cloud’s placement policies to provide lower latency between VMs.Īmong the blueprints in Google Cloud’s new toolkit is a pre-defined configuration of hardware and software for simulation and modeling workloads from Intel itself, which is promoted under the Intel Select Solutions brand. For storage, the toolkit supports Intel’s DAOS system and DDN’s Lustre-based EXAScaler system as well as Filestore, local SSDs, and persistent storage on the Google Cloud. On the compute end, this includes all of Google Cloud’s virtual machines as well as its GPU-based instances and its HPC VM image, which is based on the CentOS variant of Red Hat Enterprise Linux. These blueprints support a variety of building blocks needed to create an HPC environment, from the compute and the storage to the networking and schedulers. But for those who have their own configuration preferences, these blueprints can be modified through changes to a few lines if text in configuration files. Google Cloud thinks that most users will want to get started with the toolkit’s several pre-defined blueprints for infrastructure and software configurations that are handy for HPC environments. Here is what the components of the Cloud HPC Toolkit look like: Google also knows it needs to do more to steal more market share from its larger rivals - top dog Amazon Web Services and silver medalist Microsoft Azure - so the company has introduced a new open source toolkit that helps HPC shops construct clusters for simulation and modeling that are repeatable and yet flexible.Ĭalled the Cloud HPC Toolkit - a name that likely saved Google Cloud’s marketing department some money - the system software has a modular design that lets users create everything from simple clusters to advanced ones that can benefit from the cloud’s ability to easily slice and dice disaggregated resources based on ever-changing needs – what is called composability and what is starting to get some traction in the HPC sector. The people running Google Cloud can see the tides of HPC changing and know that, as we discussed only a few months ago, there is a fairly good chance that more HPC workloads will move to cloud builders over time as their sheer scale increasingly dictates future chip and system designs and the economics of processing.
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